Hi Hemant, data_help <- data_help %>% # Add a dummy index for each purchase to keep a memory of the purchase since it will dissappear later on. You could also use row number mutate(Purchase_ID = 1:n()) %>% # For each purchase id group_by(Purchase_ID) %>% # Call the split_items function, which returns a data.frame do(split_items(.))
cat_help %>% # Make the data.frame long where the column names are gathered in a dummy column and the items (the content of each column) in another column called Item gather("Foo", "Item") %>% filter(!is.na(Item)) %>% left_join(data_help, by = "Item") %>% group_by(Foo, Purchase_ID) %>% # Combine the items for each purchase and item type and make a wide data.frame summarise(Item = paste(Item, collapse = ", ")) %>% spread(key = "Foo", value = "Item") I suggest that you read the book [R for Data Science](http://r4ds.had.co.nz/) by Garrett Grolemund and Hadley Wickham Best wishes, Ulrik On Mo., 4. Sep. 2017, 09:31 Hemant Sain <hemantsai...@gmail.com> wrote: > Hello Ulrik, > Can you please explain this code means how and what this code is doing > because I'm not able to understand it, if you can explain it i can use it > in future by doing some Lil bit manipulation. > > Thanks > > > data_help <- > data_help %>% > mutate(Purchase_ID = 1:n()) %>% > group_by(Purchase_ID) %>% > do(split_items(.)) > > cat_help %>% gather("Foo", "Item") %>% > filter(!is.na(Item)) %>% > left_join(data_help, by = "Item") %>% > group_by(Foo, Purchase_ID) %>% > summarise(Item = paste(Item, collapse = ", ")) %>% > spread(key = "Foo", value = "Item") > > On 31 August 2017 at 13:17, Ulrik Stervbo <ulrik.ster...@gmail.com> wrote: > >> Hi Hemant, >> >> the solution is really quite similar, and the logic is identical: >> >> library(readr) >> library(dplyr) >> library(stringr) >> library(tidyr) >> >> data_help <- read_csv("data_help.csv") >> cat_help <- read_csv("cat_help.csv") >> >> # Helper function to split the Items and create a data_frame >> split_items <- function(items){ >> x <- items$Items_purchased_on_Receipts %>% >> str_split(pattern = ",") %>% >> unlist(use.names = FALSE) >> >> data_frame(Item = x, Purchase_ID = items$Purchase_ID) >> } >> >> data_help <- >> data_help %>% >> mutate(Purchase_ID = 1:n()) %>% >> group_by(Purchase_ID) %>% >> do(split_items(.)) >> >> cat_help %>% gather("Foo", "Item") %>% >> filter(!is.na(Item)) %>% >> left_join(data_help, by = "Item") %>% >> group_by(Foo, Purchase_ID) %>% >> summarise(Item = paste(Item, collapse = ", ")) %>% >> spread(key = "Foo", value = "Item") >> >> HTH >> Ulrik >> >> On Wed, 30 Aug 2017 at 13:22 Hemant Sain <hemantsai...@gmail.com> wrote: >> >>> by using these two tables we have to create third table in this format >>> where categories will be on the top and transaction will be in the rows, >>> >>> On 30 August 2017 at 16:42, Hemant Sain <hemantsai...@gmail.com> wrote: >>> >>>> Hello Ulrik, >>>> Can you please once check this code again on the following data set >>>> because it doesn't giving same output to me due to absence of quantity,a >>>> compare to previous demo data set becaue spiting is getting done on the >>>> basis of quantity and in real data set quantity is missing. so please use >>>> following data set and help me out please consider this mail is my final >>>> email i won't bother you again but its about my job please help me >>>> . >>>> >>>> Note* the file I'm attaching is very confidential >>>> >>>> On 30 August 2017 at 15:02, Ulrik Stervbo <ulrik.ster...@gmail.com> >>>> wrote: >>>> >>>>> Hi Hemant, >>>>> >>>>> Does this help you along? >>>>> >>>>> table_1 <- textConnection("Item_1;Item_2;Item_3 >>>>> 1KG banana;300ML milk;1kg sugar >>>>> 2Large Corona_Beer;2pack Fries; >>>>> 2 Lux_Soap;1kg sugar;") >>>>> >>>>> table_1 <- read.csv(table_1, sep = ";", na.strings = "", >>>>> stringsAsFactors = FALSE, check.names = FALSE) >>>>> >>>>> table_2 <- >>>>> textConnection("Toiletries;Fruits;Beverages;Snacks;Vegetables;Clothings;Dairy >>>>> Products >>>>> Soap;banana;Corona_Beer;King Burger;Pumpkin;Adidas Sport Tshirt XL;milk >>>>> Shampoo;Mango;Red Label Whisky;Fries;Potato;Nike Shorts Black L;Butter >>>>> Showergel;Oranges;grey Cocktail;cheese pizza;Tomato;Puma Jersy red >>>>> M;sugar >>>>> Lux_Soap;;2 Large corona Beer;;Cheese;Toothpaste") >>>>> >>>>> table_2 <- read.csv(table_2, sep = ";", na.strings = "", >>>>> stringsAsFactors = FALSE, check.names = FALSE) >>>>> >>>>> library(tidyr) >>>>> library(dplyr) >>>>> >>>>> table_2 <- gather(table_2, "Category", "Item") >>>>> >>>>> table_1 <- gather(table_1, "Foo", "Item") %>% >>>>> filter(!is.na(Item)) >>>>> >>>>> table_1 <- separate(table_1, col = "Item", into = c("Quantity", >>>>> "Item"), sep = " ") >>>>> >>>>> table_3 <- left_join(table_1, table_2, by = "Item") %>% >>>>> mutate(Item = paste(Quantity, Item)) %>% >>>>> select(-Quantity) >>>>> >>>>> table_3 %>% >>>>> group_by(Foo, Category) %>% >>>>> summarise(Item = paste(Item, collapse = ", ")) %>% >>>>> spread(key = "Category", value = "Item") >>>>> >>>>> You need to figure out how to handle words written with different >>>>> cases and how to get the quantity in an universal way. For the code above, >>>>> I corrected these things by hand in the example data. >>>>> >>>>> HTH >>>>> Ulrik >>>>> >>>>> On Wed, 30 Aug 2017 at 10:16 Hemant Sain <hemantsai...@gmail.com> >>>>> wrote: >>>>> >>>>>> Hey PIKAL, >>>>>> It's not a homework neithe that is the real dataset i have signer NDA >>>>>> for >>>>>> my company so that i can share the original data file, Actually I'm >>>>>> working >>>>>> on a market basket analysis task but not able to convert my existing >>>>>> data >>>>>> table to appropriate format so that i can apply Apriori algorithm >>>>>> using R, >>>>>> and this is very important me to get it done because I'm an intern >>>>>> and if i >>>>>> won't get it done they will not going to hire me as a full-time >>>>>> employee. >>>>>> i tried everything by myself but not able to get it done. >>>>>> your precious 10-15 can save my upcoming years. so please if you can >>>>>> please >>>>>> help me through this. >>>>>> i want another dataset based on first two dataset i have mentioned . >>>>>> >>>>>> Thanks >>>>>> >>>>>> On 30 August 2017 at 12:49, PIKAL Petr <petr.pi...@precheza.cz> >>>>>> wrote: >>>>>> >>>>>> > Hi >>>>>> > >>>>>> > It seems to me like homework, there is no homework policy on this >>>>>> help >>>>>> > list. >>>>>> > >>>>>> > What do you want to do with your table 3? It seems to me futile. >>>>>> > >>>>>> > Anyway, some combination of melt, merge, cast and regular >>>>>> expressions >>>>>> > could be employed in such task, but it could be rather tricky. >>>>>> > >>>>>> > But be aware that >>>>>> > >>>>>> > Suger does not match sugar (I wonder that sugar is dairy product) >>>>>> > >>>>>> > and you mix uppercase and lowercase letters which could be also >>>>>> > problematic, when matching words. >>>>>> > >>>>>> > Cheers >>>>>> > Petr >>>>>> > >>>>>> > > -----Original Message----- >>>>>> > > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of >>>>>> Hemant >>>>>> > Sain >>>>>> > > Sent: Wednesday, August 30, 2017 8:28 AM >>>>>> > > To: r-help@r-project.org >>>>>> > > Subject: [R] Dataframe Manipulation >>>>>> > > >>>>>> > > i want to do a market basket analysis and I’m trying to create a >>>>>> dataset >>>>>> > for that >>>>>> > > i have two tables, one table contains daily transaction of >>>>>> products in >>>>>> > which >>>>>> > > each row of table shows item purchased by the customer, The >>>>>> second table >>>>>> > > contains parent group under those products are fallen, for >>>>>> example under >>>>>> > fruit >>>>>> > > category there are several fruits like mango, banana, apple etc. >>>>>> > > i want to create a third table in which parent group are >>>>>> mentioned as >>>>>> > header >>>>>> > > which can be extracted from Table 2, and all the rows represent >>>>>> > transaction of >>>>>> > > products >>>>>> > > >>>>>> > > with their names, and if there is no transaction for any parent >>>>>> category >>>>>> > then >>>>>> > > the cell supposed to fill as NA. please help me with R or C/c++ >>>>>> code( R >>>>>> > would be >>>>>> > > >>>>>> > > preferred) here I’m attaching you all three tables for better >>>>>> reference >>>>>> > i have >>>>>> > > first two tables and i want to get a table like table 3 >>>>>> > > >>>>>> > > Tables are explained in the attached doc. >>>>>> > > >>>>>> > > -- >>>>>> > > hemantsain.com >>>>>> > >>>>>> > ________________________________ >>>>>> > Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a >>>>>> jsou >>>>>> > určeny pouze jeho adresátům. >>>>>> > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě >>>>>> > neprodleně jeho odesílatele. Obsah tohoto emailu i s přílohami a >>>>>> jeho kopie >>>>>> > vymažte ze svého systému. >>>>>> > Nejste-li zamýšleným adresátem tohoto emailu, nejste oprávněni >>>>>> tento email >>>>>> > jakkoliv užívat, rozšiřovat, kopírovat či zveřejňovat. >>>>>> > Odesílatel e-mailu neodpovídá za eventuální škodu způsobenou >>>>>> modifikacemi >>>>>> > či zpožděním přenosu e-mailu. >>>>>> > >>>>>> > V případě, že je tento e-mail součástí obchodního jednání: >>>>>> > - vyhrazuje si odesílatel právo ukončit kdykoliv jednání o uzavření >>>>>> > smlouvy, a to z jakéhokoliv důvodu i bez uvedení důvodu. >>>>>> > - a obsahuje-li nabídku, je adresát oprávněn nabídku bezodkladně >>>>>> přijmout; >>>>>> > Odesílatel tohoto e-mailu (nabídky) vylučuje přijetí nabídky ze >>>>>> strany >>>>>> > příjemce s dodatkem či odchylkou. >>>>>> > - trvá odesílatel na tom, že příslušná smlouva je uzavřena teprve >>>>>> > výslovným dosažením shody na všech jejích náležitostech. >>>>>> > - odesílatel tohoto emailu informuje, že není oprávněn uzavírat za >>>>>> > společnost žádné smlouvy s výjimkou případů, kdy k tomu byl písemně >>>>>> zmocněn >>>>>> > nebo písemně pověřen a takové pověření nebo plná moc byly >>>>>> adresátovi tohoto >>>>>> > emailu případně osobě, kterou adresát zastupuje, předloženy nebo >>>>>> jejich >>>>>> > existence je adresátovi či osobě jím zastoupené známá. >>>>>> > >>>>>> > This e-mail and any documents attached to it may be confidential >>>>>> and are >>>>>> > intended only for its intended recipients. >>>>>> > If you received this e-mail by mistake, please immediately inform >>>>>> its >>>>>> > sender. Delete the contents of this e-mail with all attachments and >>>>>> its >>>>>> > copies from your system. >>>>>> > If you are not the intended recipient of this e-mail, you are not >>>>>> > authorized to use, disseminate, copy or disclose this e-mail in any >>>>>> manner. >>>>>> > The sender of this e-mail shall not be liable for any possible >>>>>> damage >>>>>> > caused by modifications of the e-mail or by delay with transfer of >>>>>> the >>>>>> > email. >>>>>> > >>>>>> > In case that this e-mail forms part of business dealings: >>>>>> > - the sender reserves the right to end negotiations about entering >>>>>> into a >>>>>> > contract in any time, for any reason, and without stating any >>>>>> reasoning. >>>>>> > - if the e-mail contains an offer, the recipient is entitled to >>>>>> > immediately accept such offer; The sender of this e-mail (offer) >>>>>> excludes >>>>>> > any acceptance of the offer on the part of the recipient containing >>>>>> any >>>>>> > amendment or variation. >>>>>> > - the sender insists on that the respective contract is concluded >>>>>> only >>>>>> > upon an express mutual agreement on all its aspects. >>>>>> > - the sender of this e-mail informs that he/she is not authorized >>>>>> to enter >>>>>> > into any contracts on behalf of the company except for cases in >>>>>> which >>>>>> > he/she is expressly authorized to do so in writing, and such >>>>>> authorization >>>>>> > or power of attorney is submitted to the recipient or the person >>>>>> > represented by the recipient, or the existence of such >>>>>> authorization is >>>>>> > known to the recipient of the person represented by the recipient. >>>>>> > >>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> hemantsain.com >>>>>> >>>>>> [[alternative HTML version deleted]] >>>>>> >>>>>> ______________________________________________ >>>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>>> PLEASE do read the posting guide >>>>>> http://www.R-project.org/posting-guide.html >>>>>> <http://www.r-project.org/posting-guide.html> >>>>>> and provide commented, minimal, self-contained, reproducible code. >>>>> >>>>> >>>> >>>> >>>> -- >>>> hemantsain.com >>>> >>> >>> >>> >>> -- >>> hemantsain.com >>> >> > > > -- > hemantsain.com > > On 31 August 2017 at 13:17, Ulrik Stervbo <ulrik.ster...@gmail.com> wrote: > >> Hi Hemant, >> >> the solution is really quite similar, and the logic is identical: >> >> library(readr) >> library(dplyr) >> library(stringr) >> library(tidyr) >> >> data_help <- read_csv("data_help.csv") >> cat_help <- read_csv("cat_help.csv") >> >> # Helper function to split the Items and create a data_frame >> split_items <- function(items){ >> x <- items$Items_purchased_on_Receipts %>% >> str_split(pattern = ",") %>% >> unlist(use.names = FALSE) >> >> data_frame(Item = x, Purchase_ID = items$Purchase_ID) >> } >> >> data_help <- >> data_help %>% >> mutate(Purchase_ID = 1:n()) %>% >> group_by(Purchase_ID) %>% >> do(split_items(.)) >> >> cat_help %>% gather("Foo", "Item") %>% >> filter(!is.na(Item)) %>% >> left_join(data_help, by = "Item") %>% >> group_by(Foo, Purchase_ID) %>% >> summarise(Item = paste(Item, collapse = ", ")) %>% >> spread(key = "Foo", value = "Item") >> >> HTH >> Ulrik >> >> On Wed, 30 Aug 2017 at 13:22 Hemant Sain <hemantsai...@gmail.com> wrote: >> >>> by using these two tables we have to create third table in this format >>> where categories will be on the top and transaction will be in the rows, >>> >>> On 30 August 2017 at 16:42, Hemant Sain <hemantsai...@gmail.com> wrote: >>> >>>> Hello Ulrik, >>>> Can you please once check this code again on the following data set >>>> because it doesn't giving same output to me due to absence of quantity,a >>>> compare to previous demo data set becaue spiting is getting done on the >>>> basis of quantity and in real data set quantity is missing. so please use >>>> following data set and help me out please consider this mail is my final >>>> email i won't bother you again but its about my job please help me >>>> . >>>> >>>> Note* the file I'm attaching is very confidential >>>> >>>> On 30 August 2017 at 15:02, Ulrik Stervbo <ulrik.ster...@gmail.com> >>>> wrote: >>>> >>>>> Hi Hemant, >>>>> >>>>> Does this help you along? >>>>> >>>>> table_1 <- textConnection("Item_1;Item_2;Item_3 >>>>> 1KG banana;300ML milk;1kg sugar >>>>> 2Large Corona_Beer;2pack Fries; >>>>> 2 Lux_Soap;1kg sugar;") >>>>> >>>>> table_1 <- read.csv(table_1, sep = ";", na.strings = "", >>>>> stringsAsFactors = FALSE, check.names = FALSE) >>>>> >>>>> table_2 <- >>>>> textConnection("Toiletries;Fruits;Beverages;Snacks;Vegetables;Clothings;Dairy >>>>> Products >>>>> Soap;banana;Corona_Beer;King Burger;Pumpkin;Adidas Sport Tshirt XL;milk >>>>> Shampoo;Mango;Red Label Whisky;Fries;Potato;Nike Shorts Black L;Butter >>>>> Showergel;Oranges;grey Cocktail;cheese pizza;Tomato;Puma Jersy red >>>>> M;sugar >>>>> Lux_Soap;;2 Large corona Beer;;Cheese;Toothpaste") >>>>> >>>>> table_2 <- read.csv(table_2, sep = ";", na.strings = "", >>>>> stringsAsFactors = FALSE, check.names = FALSE) >>>>> >>>>> library(tidyr) >>>>> library(dplyr) >>>>> >>>>> table_2 <- gather(table_2, "Category", "Item") >>>>> >>>>> table_1 <- gather(table_1, "Foo", "Item") %>% >>>>> filter(!is.na(Item)) >>>>> >>>>> table_1 <- separate(table_1, col = "Item", into = c("Quantity", >>>>> "Item"), sep = " ") >>>>> >>>>> table_3 <- left_join(table_1, table_2, by = "Item") %>% >>>>> mutate(Item = paste(Quantity, Item)) %>% >>>>> select(-Quantity) >>>>> >>>>> table_3 %>% >>>>> group_by(Foo, Category) %>% >>>>> summarise(Item = paste(Item, collapse = ", ")) %>% >>>>> spread(key = "Category", value = "Item") >>>>> >>>>> You need to figure out how to handle words written with different >>>>> cases and how to get the quantity in an universal way. For the code above, >>>>> I corrected these things by hand in the example data. >>>>> >>>>> HTH >>>>> Ulrik >>>>> >>>>> On Wed, 30 Aug 2017 at 10:16 Hemant Sain <hemantsai...@gmail.com> >>>>> wrote: >>>>> >>>>>> Hey PIKAL, >>>>>> It's not a homework neithe that is the real dataset i have signer NDA >>>>>> for >>>>>> my company so that i can share the original data file, Actually I'm >>>>>> working >>>>>> on a market basket analysis task but not able to convert my existing >>>>>> data >>>>>> table to appropriate format so that i can apply Apriori algorithm >>>>>> using R, >>>>>> and this is very important me to get it done because I'm an intern >>>>>> and if i >>>>>> won't get it done they will not going to hire me as a full-time >>>>>> employee. >>>>>> i tried everything by myself but not able to get it done. >>>>>> your precious 10-15 can save my upcoming years. so please if you can >>>>>> please >>>>>> help me through this. >>>>>> i want another dataset based on first two dataset i have mentioned . >>>>>> >>>>>> Thanks >>>>>> >>>>>> On 30 August 2017 at 12:49, PIKAL Petr <petr.pi...@precheza.cz> >>>>>> wrote: >>>>>> >>>>>> > Hi >>>>>> > >>>>>> > It seems to me like homework, there is no homework policy on this >>>>>> help >>>>>> > list. >>>>>> > >>>>>> > What do you want to do with your table 3? It seems to me futile. >>>>>> > >>>>>> > Anyway, some combination of melt, merge, cast and regular >>>>>> expressions >>>>>> > could be employed in such task, but it could be rather tricky. >>>>>> > >>>>>> > But be aware that >>>>>> > >>>>>> > Suger does not match sugar (I wonder that sugar is dairy product) >>>>>> > >>>>>> > and you mix uppercase and lowercase letters which could be also >>>>>> > problematic, when matching words. >>>>>> > >>>>>> > Cheers >>>>>> > Petr >>>>>> > >>>>>> > > -----Original Message----- >>>>>> > > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of >>>>>> Hemant >>>>>> > Sain >>>>>> > > Sent: Wednesday, August 30, 2017 8:28 AM >>>>>> > > To: r-help@r-project.org >>>>>> > > Subject: [R] Dataframe Manipulation >>>>>> > > >>>>>> > > i want to do a market basket analysis and I’m trying to create a >>>>>> dataset >>>>>> > for that >>>>>> > > i have two tables, one table contains daily transaction of >>>>>> products in >>>>>> > which >>>>>> > > each row of table shows item purchased by the customer, The >>>>>> second table >>>>>> > > contains parent group under those products are fallen, for >>>>>> example under >>>>>> > fruit >>>>>> > > category there are several fruits like mango, banana, apple etc. >>>>>> > > i want to create a third table in which parent group are >>>>>> mentioned as >>>>>> > header >>>>>> > > which can be extracted from Table 2, and all the rows represent >>>>>> > transaction of >>>>>> > > products >>>>>> > > >>>>>> > > with their names, and if there is no transaction for any parent >>>>>> category >>>>>> > then >>>>>> > > the cell supposed to fill as NA. please help me with R or C/c++ >>>>>> code( R >>>>>> > would be >>>>>> > > >>>>>> > > preferred) here I’m attaching you all three tables for better >>>>>> reference >>>>>> > i have >>>>>> > > first two tables and i want to get a table like table 3 >>>>>> > > >>>>>> > > Tables are explained in the attached doc. >>>>>> > > >>>>>> > > -- >>>>>> > > hemantsain.com >>>>>> > >>>>>> > ________________________________ >>>>>> > Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a >>>>>> jsou >>>>>> > určeny pouze jeho adresátům. >>>>>> > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě >>>>>> > neprodleně jeho odesílatele. Obsah tohoto emailu i s přílohami a >>>>>> jeho kopie >>>>>> > vymažte ze svého systému. >>>>>> > Nejste-li zamýšleným adresátem tohoto emailu, nejste oprávněni >>>>>> tento email >>>>>> > jakkoliv užívat, rozšiřovat, kopírovat či zveřejňovat. >>>>>> > Odesílatel e-mailu neodpovídá za eventuální škodu způsobenou >>>>>> modifikacemi >>>>>> > či zpožděním přenosu e-mailu. >>>>>> > >>>>>> > V případě, že je tento e-mail součástí obchodního jednání: >>>>>> > - vyhrazuje si odesílatel právo ukončit kdykoliv jednání o uzavření >>>>>> > smlouvy, a to z jakéhokoliv důvodu i bez uvedení důvodu. >>>>>> > - a obsahuje-li nabídku, je adresát oprávněn nabídku bezodkladně >>>>>> přijmout; >>>>>> > Odesílatel tohoto e-mailu (nabídky) vylučuje přijetí nabídky ze >>>>>> strany >>>>>> > příjemce s dodatkem či odchylkou. >>>>>> > - trvá odesílatel na tom, že příslušná smlouva je uzavřena teprve >>>>>> > výslovným dosažením shody na všech jejích náležitostech. >>>>>> > - odesílatel tohoto emailu informuje, že není oprávněn uzavírat za >>>>>> > společnost žádné smlouvy s výjimkou případů, kdy k tomu byl písemně >>>>>> zmocněn >>>>>> > nebo písemně pověřen a takové pověření nebo plná moc byly >>>>>> adresátovi tohoto >>>>>> > emailu případně osobě, kterou adresát zastupuje, předloženy nebo >>>>>> jejich >>>>>> > existence je adresátovi či osobě jím zastoupené známá. >>>>>> > >>>>>> > This e-mail and any documents attached to it may be confidential >>>>>> and are >>>>>> > intended only for its intended recipients. >>>>>> > If you received this e-mail by mistake, please immediately inform >>>>>> its >>>>>> > sender. Delete the contents of this e-mail with all attachments and >>>>>> its >>>>>> > copies from your system. >>>>>> > If you are not the intended recipient of this e-mail, you are not >>>>>> > authorized to use, disseminate, copy or disclose this e-mail in any >>>>>> manner. >>>>>> > The sender of this e-mail shall not be liable for any possible >>>>>> damage >>>>>> > caused by modifications of the e-mail or by delay with transfer of >>>>>> the >>>>>> > email. >>>>>> > >>>>>> > In case that this e-mail forms part of business dealings: >>>>>> > - the sender reserves the right to end negotiations about entering >>>>>> into a >>>>>> > contract in any time, for any reason, and without stating any >>>>>> reasoning. >>>>>> > - if the e-mail contains an offer, the recipient is entitled to >>>>>> > immediately accept such offer; The sender of this e-mail (offer) >>>>>> excludes >>>>>> > any acceptance of the offer on the part of the recipient containing >>>>>> any >>>>>> > amendment or variation. >>>>>> > - the sender insists on that the respective contract is concluded >>>>>> only >>>>>> > upon an express mutual agreement on all its aspects. >>>>>> > - the sender of this e-mail informs that he/she is not authorized >>>>>> to enter >>>>>> > into any contracts on behalf of the company except for cases in >>>>>> which >>>>>> > he/she is expressly authorized to do so in writing, and such >>>>>> authorization >>>>>> > or power of attorney is submitted to the recipient or the person >>>>>> > represented by the recipient, or the existence of such >>>>>> authorization is >>>>>> > known to the recipient of the person represented by the recipient. >>>>>> > >>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> hemantsain.com >>>>>> >>>>>> [[alternative HTML version deleted]] >>>>>> >>>>>> ______________________________________________ >>>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>>> PLEASE do read the posting guide >>>>>> http://www.R-project.org/posting-guide.html >>>>>> and provide commented, minimal, self-contained, reproducible code. >>>>> >>>>> >>>> >>>> >>>> -- >>>> hemantsain.com >>>> >>> >>> >>> >>> -- >>> hemantsain.com >>> >> > > > -- > hemantsain.com > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.